Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells

James T Yurkovich, Laurence Yang and Bernhard O Palsson

PLOS Computational Biology, 2017, vol. 13, issue 3, 1-9

Abstract: Deep-coverage metabolomic profiling has revealed a well-defined development of metabolic decay in human red blood cells (RBCs) under cold storage conditions. A set of extracellular biomarkers has been recently identified that reliably defines the qualitative state of the metabolic network throughout this metabolic decay process. Here, we extend the utility of these biomarkers by using them to quantitatively predict the concentrations of other metabolites in the red blood cell. We are able to accurately predict the concentration profile of 84 of the 91 (92%) measured metabolites (p

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1005424

DOI: 10.1371/journal.pcbi.1005424

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